choco9966

Awesome-Semantic-Segmentation-Competition-Review

Semantic Segmentation 대회의 솔루션들을 정리해놓은 자료입니다.

Cassava-Leaf-Disease-Classification

Identify the type of disease present on a Cassava Leaf image

Dacon

Dacon에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

Kaggle

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

Korean-Hair-Segmentation

2021 NIPA 한국인 헤어스타일 경진대회 2등 솔루션 자료입니다.

Recommendation-Tutorial

RESUME

이력서 (RESUME)

Semantic-Segmentation-of-Recycled-Items

재활용품 분류를 위한 Semantic Segmentation

Semantic-Segmentation-Review

Semantic Segmentation Paper를 review하고 해당 코드를 구현하는 repository 입니다.

T-academy-Recommendation

T아카데미에서 진행한 82회차 추천시스템 강의 자료입니다.

choco9966/Kaggle

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

choco9966/brave-tech-interview

🙋 핵심을 질문하다. 그리고 용감하게 대답하다. 국내 IT기업부터 실리콘밸리까지 "현직자가 해설해주는 기술면접"

choco9966/IEEE-CIS-Fraud-Detection

캐글 메달 따기(가제)의 IEEE-CIS Fraud Detection 코드가 담긴 레포지토리입니다.

choco9966/magpie

Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing"

choco9966/recsys-challenge-2023

choco9966/arithmetic

Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (2024)

choco9966/AutoIF

choco9966/cosmopedia

choco9966/data-science-on-aws

choco9966/DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

choco9966/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

choco9966/deepspeed-example

choco9966/DeepSpeedExamples

Example models using DeepSpeed

choco9966/EHRSQL

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records

choco9966/gsm8k-ScRel

Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

choco9966/huggingface-tutorial

트랜스포머를 활용한 자연어처리를 공부한 레포지토리입니다.

choco9966/llm-meetup

LINER LLM Meetup archive

choco9966/Megatron-LLaMA

Best practice for training LLaMA models in Megatron-LM

choco9966/persona-hub

choco9966/R-Tuning

Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"

choco9966/RecSys_2022

choco9966/repsys

Framework for developing and analyzing recommendation systems.

choco9966/Self-Study-On-SageMaker

choco9966/summarize-from-feedback

Code for "Learning to summarize from human feedback"

choco9966/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

choco9966/ToRA

ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools.

choco9966/training-llm-on-sagemaker-for-multiple-nodes-with-deepspeed

choco9966/Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

choco9966/TRON

⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

choco9966/yacup_recsys_2022

1st place solution